RLHF
Data
Human preference data collection for reinforcement learning from human feedback pipelines. Calibrated, consistent, and designed for reward model training.
What we deliver
Preference Pair Collection
Structured collection of A/B preference pairs from calibrated human raters — with documented reasoning.
Response Ranking
Multi-response ranking tasks for reward model training across quality, safety, and helpfulness dimensions.
Feedback Annotation
Detailed human feedback annotation on model responses — covering specific strengths, weaknesses, and correction suggestions.
Domain Specialization
RLHF data collection by domain specialists for code, medicine, law, finance, and other expert domains.
Calibration & Alignment
Rater calibration sessions ensure consistent preference signals that translate reliably to reward model training.
IAA Reports
Inter-annotator agreement on all RLHF batches — measured and reported to validate data quality before delivery.
Ready to build your RLHF dataset?
Start with a calibration pilot. No commitment required.